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Documentation Index

Fetch the complete documentation index at: https://docs.oktolabs.ai/llms.txt

Use this file to discover all available pages before exploring further.

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KG health and monitoring

You can monitor the KG through MCP health tools, the CLI pipeline verifier, and queue health endpoints. Use these before deciding a graph repair is needed.

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Health tool

okto_pulse_kg_health(board_id="...")
The response reports queue depth, dead-letter count, decay tick freshness, schema status, and graph availability.

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Pipeline health CLI

okto-pulse verify-pipeline <board_id> --json

{"ok": true, "checks": []}

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Relevance score histogram

The health surface includes score distribution so operators can detect stale or low-confidence graph content.

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Alert thresholds

KG_QUEUE_ALERT_THRESHOLD controls when queue depth should be surfaced as unhealthy or warning-level.

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Decay tick monitoring

Decay tick freshness depends on KG_DECAY_TICK_INTERVAL_MINUTES, KG_DECAY_TICK_STALENESS_DAYS, and KG_DECAY_TICK_MAX_AGE_DAYS.
Last modified on May 8, 2026